Large Behaviour Models Research Engineer
Large Behaviour Models Research Engineer
Kinisi Robotics – Large-Behaviour Models Research Engineer
Job Title: Large-Behaviour Models Research Engineer
Location: Bristol, UK | Hybrid (primarily on-site)
Employment Type: Full-time, Permanent
About the Role
Kinisi is pushing the frontier of dexterous, whole-body manipulation. By fusing large-scale demonstration data - from teleoperation, human demos and the open web - we teach Kinisi robots to solve new tasks from just a handful of examples. As an Large-Behaviour Models Engineer, you’ll help design, train and ship the next generation of multitask manipulation policies.
What You’ll Do
* Invent & apply ML –Turn cutting-edge behaviour-cloning and generative-model ideas into practical solutions for real, bimanual manipulation challenges.
* Build great software –Craft well-documented, tested and maintainable Python / C++ code that the whole team can rely on.
* Drive technical direction – Lead design reviews and partner closely with Kinisi-platform engineers to integrate your work end-to-end.
* Own deployment –Bring your models onto Kinisi hardware, debug in the loop and iterate until performance shines.
Qualifications
* M.S. (or higher) in CS, ML, Robotics or a related field.
* Hands-on experience training and rolling out learned control policies - either on robots or complex simulated agents.
* Fluency with modern ML stacks, model architectures and experiment workflows.
* Sharp analytical instincts and a knack for diagnosing tricky runtime issues.
Why Join Us?
* This is an opportunity to work on cutting-edge robotic systems in a collaborative, hands-on environment. You’ll contribute to a product that’s heading to market and help shape the future of industrial automation.
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Robot Manufacturing
Referrals increase your chances of interviewing at Kinisi Robotics by 2x
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